We use two different outputs for the translation at word level, one output is the lemma of the word and the other output is the rest of the factors mentioned earlier.
Multiple output neural networks have been used before [1]} with the difference that in our approach the system produces both outputs at the same time instead of scheduling them.
With both outputs (lemma and factors) we are able to generate the final word using linguistic resources.
